Process / pipelineBioinformatics / omics

Multi-omics Metabolomics Analysis — Integrating Metabolites with Other Omics Layers

Multi-omics metabolomics analysis integrates metabolite profiling data — derived from mass spectrometry or NMR spectroscopy — with genomic, transcriptomic, and/or proteomic datasets to build a system-level view of biological phenotypes. By anchoring integration on the metabolome, which reflects the downstream functional output of gene expression and protein activity, this approach connects upstream molecular variation to observable biochemical states, enabling richer mechanistic insight than any single omics layer alone.

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Sources

  1. Subramanian, I., Verma, S., Kumar, S., Jere, A., & Anamika, K. (2020). Multi-omics data integration, interpretation, and its application. Bioinformatics and Biology Insights, 14, 1177932219899051. link
  2. Hasin, Y., Seldin, M., & Lusis, A. (2017). Multi-omics approaches to disease. Genome Biology, 18(1), 83. link

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Referenced by

ScholarGateMulti-omics metabolomics analysis (Multi-omics Integration with Metabolomics). Retrieved 2026-06-04 from https://scholargate.app/en/bioinformatics/multi-omics-metabolomics-analysis